IBM Big Data Hub

FEBRUARY 8, 2023

There is a growing need to proactively drive responsible, fair, and ethical decisions, designed to: Manage risk and reputation No organization wants to be in the news for the wrong reasons, and recently there have been a lot of stories in the press regarding issues of unfair, unexplainable, or biased AI. So what is AI governance?

Risk Management 52

Risk Management Risk Modeling Metadata 52

Cloudera

APRIL 19, 2023

With the vast amount of data collected from customers, transactions, and market movements, among other sources, this abundance offers tremendous potential for financial institutions to extract valuable insights that can inform business decisions, improve customer service, and create new revenue streams.

Data-driven 70

Data-driven Data Architecture Measurement Risk 70

CIO Business Intelligence

APRIL 12, 2022

A McKinsey study on the impact of this extended disruption found something very interesting: while 75% of companies surveyed faced problems with their supplier base, production and distribution, 85% said they struggled with “insufficient digital technologies” in the supply chain. The more data you have, the more costs you save.

IoT 100

IoT Analytics Manufacturing Cost-Benefit 100

Smart Data Collective

MAY 8, 2022

Let’s not forget that big data and AI can also automate about 80% of the physical work required from human beings, 70% of the data processing, and more than 60% of the data collection tasks. From the statistics shown, this means that both AI and big data have the potential to affect how we work in the workplace.

Big Data 104

Big Data Data Analytics Analytics Cost-Benefit 104

IBM Big Data Hub

MARCH 26, 2024

Businesses seeking to accelerate sustainability initiatives must take an integrated approach that brings together all business and technology functions. It is not managed by a single department in a silo. How is sustainability managed—as an annual measuring exercise or an ongoing effort that supports business transformation?

Measurement 61

Measurement Metrics Strategy Reporting 61

Cloudera

MARCH 18, 2021

The Fundamental Review of the Trading Book (FRTB), introduced by the Basel Committee on Banking Supervision (BCBS), will transform how banks measure risk. In order to help make banks more resilient to drastic market changes, it will impose capital requirements that are more closely aligned with the market’s actual risk factors.

Risk 55

Risk Machine Learning Risk Management Measurement 55

Jet Global

NOVEMBER 15, 2021

For an organization to be successful in their tax function, they need to evaluate the performance of their tax function using a variety of KPIs and metrics, ranging from traditional KPIs such as effective tax rate, filing timelines, financial risk management, etc.; How to Compare Reporting & BI Solutions. Download Now.

Metrics 52

Metrics Reporting KPI Risk Management 52

Ontotext

MAY 5, 2023

It is reused in modeling the publication of entity data or regulatory-mandated data exchange, as seen in the example provided below. Integrating reporting to move to a more streamlined, efficient approach to data collection. This makes it easier to manage and update information as the industry changes.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

Cloudera

SEPTEMBER 29, 2021

Forced to adapt to changes in the business landscape and customer behavior, businesses have adopted more digital tools and technologies to drive innovation and increase resilience. . This has made it imperative for governments to leverage digital technologies to become more agile and innovative and better serve their citizens. .

Digital Transformation 81

Digital Transformation Data Governance Data-driven Uncertainty 81

datapine

AUGUST 29, 2022

And shows how big data and the advances in analytical technologies are shaping the way the world is perceived. 2) Designing Data-Intensive Applications by Martin Kleppman. 2) Designing Data-Intensive Applications by Martin Kleppman. Not only is it comprehensive and thorough, but also comprehensible.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

JUNE 22, 2022

AssuredPartners is a full-service insurance broker providing commercial insurance, risk management, and employee benefits. He came to IT from the business, and he has both a technology background and a deep understanding of the nitty gritty of our business processes. How is data collected and used in the organization?

IT 89

IT Insurance Cost-Benefit Risk Management 89

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. BI is not just a technology initiative. Before going all-in with data collection, cleaning, and analysis, it is important to consider the topics of security, privacy, and most importantly, compliance.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

erwin

APRIL 21, 2020

One of the biggest lessons we’re learning from the global COVID-19 pandemic is the importance of data, specifically using a data catalog to comply, collaborate and innovate to crisis-proof our businesses. So one of the biggest lessons we’re learning from COVID-19 is the need for data collection, management and governance.

Measurement 97

Measurement Sales Data Governance Metadata 97

erwin

APRIL 21, 2020

One of the biggest lessons we’re learning from the global COVID-19 pandemic is the importance of data, specifically using a data catalog to comply, collaborate and innovate to crisis-proof our businesses. So one of the biggest lessons we’re learning from COVID-19 is the need for data collection, management and governance.

Measurement 96

Measurement Sales Data Governance Metadata 96

Jet Global

JULY 28, 2023

The focus on innovative technologies and digital transformation is helping businesses gain a competitive edge, while the lessons learned from the pandemic underscore the importance of adaptability and preparedness for future disruptions. When searching for tax-management software, find one that automates data collection and processing.

Finance 52

Finance Uncertainty Reporting Forecasting 52

Sisense

SEPTEMBER 3, 2020

Overall, however, what often characterizes them is a focus on data collection, manipulation, and analysis, using standard formulas and methods, and acting as gatekeepers of an organization’s data. Data analysts might report to a CIO, a Chief Data Officer (CDO), or possibly to a data scientist or business analyst team leader.

Statistics 97

Statistics Metrics Visualization Finance 97

Cloudera

FEBRUARY 14, 2018

Jim recognized that we, as a fast-growing startup company, need to bring together the critical pieces of our Information Technology: our digital team, front office and back office systems, IT/data center (and cloud!) operations, and our CISO’s team while we invest in and form a stronger data and analytics team.

Data-driven 44

Data-driven Data Quality Risk Interactive 44

Jet Global

NOVEMBER 29, 2023

It provides a graphical comparative positioning of technology and service providers with high market growth and product differentiation. To be considered, product capabilities must include close management, financial consolidation, financial statement reconciliation and journal entry processing.

Reporting 52

Reporting Marketing Software Management 52

Alation

FEBRUARY 8, 2022

Middlemen — data engineering or IT teams — can’t possibly possess all the expertise needed to serve up quality data to the growing range of data consumers who need it. As data collection has surged, and demands for data have grown in the enterprise, one single team can no longer meet the data demands of every department.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

Domino Data Lab

FEBRUARY 4, 2019

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. As the article explains, data science is set apart from other business functions by two fundamental aspects: Relatively low costs for exploration.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Jet Global

MAY 9, 2024

ELT can be more efficient for handling large volumes of data, as data is loaded directly into the destination system and transformations can leverage the system’s scalability and parallel processing capabilities. Technologies used for data ingestion include data connectors, ingestion frameworks, or data collection agents.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52